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1 © ACRI-ST, all rights reserved – 2012 Galactic noise model adjustment Jean-Luc Vergely (ACRI-ST) Jacqueline Boutin (LOCEAN) Xiaobin Yin (LOCEAN)
2 © ACRI-ST, all rights reserved – 2012 Issue : GN correction. Aim of this study : To better understand rugosity in L band To estimate the GN corrections for some operating points (WS, theta) and to cross check with the current model implemented in the L2OS processor.
3 © ACRI-ST, all rights reserved – 2012 Inversion of the forward model Data : SMOS Tbgal_refl_X and Tbgal_refl_Y = TB L1c – flat sea and roughness contribution – OTT – atmospheric contribution Forward model : With b=cos²(a) or b=sin²(a), a being the rotation angle ground->antenna Inversion shall be done at the antenna level : bayesian approach as for SSS retrieval. UNKNOWN : and
4 © ACRI-ST, all rights reserved – 2012 SMOS data selection : reprocessed data 30 descending half orbits in the south pacific in the period 09/2011 – 11/2011 => strong galactic signal is expected. 11 ascending half orbits in the south pacific in the period 03/2010 – 04/2010 => strong galactic signal is expected. Selection of data : no contamination by land, TB valid, geometric rotation < 10° : TBH and TBV processed independently.
5 © ACRI-ST, all rights reserved – 2012 Inverse scheme Retrieval : non parametric approach. Axisymmetry of the bistatic coefficients. Add new constraints in the retrieval scheme: forcing the normalization of the bistatic coefficients. Possibility to add a bias (as an OTT) Use of asc and desc orbits
6 © ACRI-ST, all rights reserved – 2012 Retrieval results polar H (ascending) RH around 0.72 as expected Strong negative bias. OTT issue ? Dynamic only for WS = 3m/s
7 © ACRI-ST, all rights reserved – 2012 Retrieval results polar V (ascending) Strong negative bias.
8 © ACRI-ST, all rights reserved – 2012 Retrieval results Comparison with AUX_GAL2 (ascending) Differences due to the bias (always negative) ? From non parametric approach AUX_GAL2 new
9 © ACRI-ST, all rights reserved – 2012 Retrieval results polar H (descending)
10 © ACRI-ST, all rights reserved – 2012 Retrieval results polar V (descending) Strong negative bias.
11 © ACRI-ST, all rights reserved – 2012 Retrieval results Comparison with AUX_GAL2 (descending) Better than ascending for H pol. Difference in V pol due to the bias. AUX_GAL2 new From non parametric approach
12 © ACRI-ST, all rights reserved – 2012 Retrieval results Comparison with old AUX_GAL2 (descending) NEW AUX_GAL2OLD AUX_GAL2 With normalisation From non parametric approach AUX_GAL2 new From non parametric approach (old data) AUX_GAL2 old No normalisation
13 © ACRI-ST, all rights reserved – 2012 Conclusions Results depend on OTT. Chi2 too high. Strong dynamic for WS=3 m/s only. Low response for ascending orbits -> to be done with extended selection. Solution is lower than the new AUX_GAL LUT Better coherence for descending orbits, H pol. Problem with the normalization and the constant correction ? Data set to be increased, at least for ascending orbits.
Galactic noise model adjustment Jean-Luc Vergely (ACRI-ST) Jacqueline Boutin (LOCEAN) Xiaobin Yin (LOCEAN)
1 © ACRI-ST, all rights reserved – 2012 Isotropic RFI detection Jean-Luc Vergely (ACRI-ST) Claire Henocq (ACRI-ST) Philippe Waldteufel (LATMOS)
1 © ACRI-ST, all rights reserved – 2012 TEC estimation Jean-Luc Vergely (ACRI-ST) Jacqueline Boutin (LOCEAN)
Dependence of SMOS/MIRAS brightness temperatures on wind speed: sea surface effect and latitudinal biases Xiaobin Yin, Jacqueline Boutin LOCEAN.
Errors on SMOS retrieved SSS and their dependency to a priori wind speed X. Yin 1, J. Boutin 1, J. Vergely 2, P. Spurgeon 3, and F. Gaillard 4 1. LOCEAN.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity Using TEC estimated from Stokes 3 24 October 2012 ACRI-st, LOCEAN & ARGANS SMOS+polarimetry.
21-23/04/2015PM27 ACRI-ST ARGANS LOCEAN TEC follow-up.
Tests on V500 Sun On versus Sun Off 1)Tbmeas. –Tbmodel in the FOV X. Yin, J. Boutin Inputs from R. Balague, P. Spurgeon, A. Chuprin, M. Martin-Neira and.
SMOS L2 Ocean Salinity Reprocessed constant calibration L1c OTT drift study 13 April 2011 ARGANS & L2OS ESL ascendingdescending.
SMOS SSS and wind speed J. Boutin, X. Yin, N. Martin -Optimization of roughness/foam model -Comparison of new-old ECMWF wind speeds -SSS anomaly in the.
Optimization of L-band sea surface emissivity models deduced from SMOS data X. Yin (1), J. Boutin (1), N. Martin (1), P. Spurgeon (2) (1) LOCEAN, Paris,
SMOS QWG-6, ESRIN October 2011 OTT generation strategy and associated issues 1 The SMOS L2 OS Team.
UPDATE ON SMOS LONG-TERM BIASES OVER THE OCEAN AND ROUGH SURFACE SCATTERING OF CELESTIAL SKY NOISE Joe Tenerelli SMOS L2OS Progress Meeting Arles, France,
SMOS L2 Ocean Salinity Commissioning Plan, 07/05/2009 Level 2 Ocean Salinity Processor Commissioning Plan 7 May 2009 ARGANS ACRI-ST ICM-CSIC.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity QWG #4 7-9 March 2011 ARGANS & L2OS ESL.
UPDATE ON BIAS TRENDS, DIRECT SUN CORRECTION, AND ROUGHNESS CORRECTION Joe Tenerelli May 10, 2011.
SMOS L1v620-L2v613 versus L1v505- L2v550 validation May 2011 Nicolas Martin, Jacqueline Boutin LOCEAN 26 May 2014.
Impact of sea surface roughness on SMOS measurements A new empirical model S. Guimbard & SMOS-BEC Team SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta.
Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.
Space Reflecto, November 4 th -5 th 2013, Plouzané Characterization of scattered celestial signals in SMOS observations over the Ocean J. Gourrion 1, J.
AN INITIAL LOOK AT THE IMPACT OF THE NEW ANTENNA LOSS MODEL Joe Tenerelli SMOS QUALITY WORKING GROUP #4 7-9 March 2011.
SMOS QWG-9, ESRIN October 2012 L2OS: Product performance summary v550 highlights 1 The SMOS L2 OS Team.
21-23/04/2015PM27 J-L Vergely, J. Boutin, N. Kolodziejczyk, N. Martin, S. Marchand SMOS RFI/Outlier filtering.
UPDATE ON GALACTIC NOISE CORRECTION Joe Tenerelli SMOS Quality Working Group #9 ESA ESRIN 24 October 2012.
SMOS QWG-5, 30 May- 1 June 2011, ESRIN Ocean Salinity 1 1.Commissioning reprocessing analysis 2.New processor version: improvements and problems detected/solved.
New model used existing formulation for foam coverage and foam emissivity; tested over 3 half orbits in the Pacific foam coverage exponent modified to.
UPDATE ON THE SUN GLINT Joe Tenerelli Ocean Data Lab SMOS Level 2 OS Progress Meeting 26 SMOS Barcelona Expert Centre Barcelona, Spain April 2015.
SMOS L2 Ocean Salinity – Reprocessing Level 2 Ocean Salinity Reprocessing 17 September 2008.
TEC introduced high ratios of std(Tbmeas-Tbmodel)/ radio_accuracy X. Yin, J. Boutin LOCEAN.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity L1 -> L2OS tools 12 February 2014 ARGANS & SMOS L2OS ESL.
BIAS TRENDS IN THE 1-SLOPE (REPROCESSING) AND CALIBRATED L1 BRIGHTNESS TEMPERATURES Joe Tenerelli SMOS Payload Calibration Meeting September 2012.
QWG-10 ESRIN 4-6 February 2013 Quality control study for SMOS data / Flags analysis C. Gabarró, J. Martínez, E. Olmedo M. Portabella, J. Font and BEC team.
Sea water dielectric constant, temperature and remote sensing of Sea Surface Salinity E. P. Dinnat 1,2, D. M. Le Vine 1, J. Boutin 3, X. Yin 3, 1 Cryospheric.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity L2OS planning 2 July 2014 ARGANS & SMOS L2OS ESL 1.
Analysis of AMSR-E C & X-band Tb data dependencies with wind & wave characteristics.
REVIEW OF OBSERVED BIAS TRENDS OVER THE OCEAN AND POTENTIAL IMPACT OF PROCESSOR EVOLUTION Joe & Nicolas IFREMER/CLS ESL Quality Working Group #5 May 30-31,
Introduction Martin et al. JGR, 2014 CAROLS airborne Tbs indicate slightly lower wind influence than predicted by model 1 at high WS In model 1 previous.
QWG8, Boutin et al. SMOS and Aquarius: SSS and Wind Effect J. Boutin, X. Yin, N. Martin (LOCEAN, Paris), E. Dinnat (Chapman University/NASA/GSFC), S. Yueh.
SMOS L2 Ocean Salinity L1OP v620 border flag width 23 May 2014 ARGANS & L2OS ESL
MIRAS performance based on OS data SMOS MIRAS IOP 6 th Review, ESAC – 17 June 2013 Prepared by: J. Font, SMOS Co-Lead Investigator, Ocean Salinity – ICM-CSIC.
USING SMOS POLARIMETRIC BRIGHTNESS TEMPERATURES TO CORRECT FOR ROUGH SURFACE EMISSION BEFORE SALINITY INVERSION.
SMOS AlgoVal meeting #16, Brest, 8-9 July, 2009 Computing Tb BOA and Tb surf C. Gabarró, J. Font SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity PM # November 2010 ARGANS & L2OS LOCEAN, Paris.
SPCM-9, Esac, May 3 rd, 2012 MODEL-INDEPENDENT ESTIMATION OF SYSTEMATIC ERRORS IN SMOS BRIGHTNESS TEMPERATURE IMAGES J. Gourrion, S. Guimbard, R. Sabia,
SMOS L2 Ocean Salinity Level 2 Ocean Salinity L20S Tool Box Architecture & Release 27 June 2014 ARGANS & SMOS L2OS ESL.
Universitat Politècnica de Catalunya CORRECTION OF SPATIAL ERRORS IN SMOS BRIGHTNESS TEMPERATURE IMAGES L. Wu, I. Corbella, F. Torres, N. Duffo, M. Martín-Neira.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity v63x product design evolution 22 April 2015 ARGANS & SMOS L2OS ESL 1.
Leo Lam © Signals and Systems EE235. Leo Lam © Breeding What do you get when you cross an elephant and a zebra? Elephant zebra sin.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity Processor TDS review 26 January 2009 Samantha Lavender Paul Spurgeon Caesar Mugerin.
SMOS Science Workshop, Arles, th Sept, 2011 IMPROVING SMOS SALINITY RETRIEVAL: SYSTEMATIC ERROR DIAGNOSTIC J. Gourrion, R. Sabia, M. Portabella,
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